Including widespread geometry formats in semantic graphs using RDF literals

Mathias Bonduel; Anna Wagner; Pieter Pauwels; Maarten Vergauwen; Ralf Klein

doi:10.35490/ec3.2019.166

Including widespread geometry formats in semantic graphs using RDF literals

Mathias Bonduel, Anna Wagner, Pieter Pauwels, Maarten Vergauwen, Ralf Klein

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

32 Citations (Scopus)

1 Downloads (Pure)

Abstract

The exchange of building data involves both geometric and non-geometric data. A promising Linked Data approach is to embed data from existing geometry formats inside Resource Description Framework (RDF) literals. Based on a study of relevant specifications and related work, this toolset-independent approach was found suitable for the exchange of geometric construction data. To implement the approach in practice, the File Ontology for Geometry formats (FOG) and accompanying modelling method is developed. In a proof-of-concept web application that uses FOG, is demonstrated how geometry descriptions of different existing formats are automatically recognised and parsed.

Original language	English
Title of host publication	Proceedings of the 2019 European Conference for Computing in Construction
Pages	341-350
Number of pages	10
DOIs	https://doi.org/10.35490/ec3.2019.166
Publication status	Published - 2019
Externally published	Yes
Event	2019 European Conference on Computing in Construction - Chania, Greece Duration: 10 Jul 2019 → 12 Jul 2019 Conference number: 1 https://ec-3.org/conf2019/

Conference

Conference	2019 European Conference on Computing in Construction
Abbreviated title	EC3
Country/Territory	Greece
City	Chania
Period	10/07/19 → 12/07/19
Internet address	https://ec-3.org/conf2019/

Keywords

geometry
BIM
linked data
linked building data
semantic web

Access to Document

10.35490/ec3.2019.166

Cite this

@inproceedings{c73345cf7298447ba144c5bba921afd6,

title = "Including widespread geometry formats in semantic graphs using RDF literals",

abstract = "The exchange of building data involves both geometric and non-geometric data. A promising Linked Data approach is to embed data from existing geometry formats inside Resource Description Framework (RDF) literals. Based on a study of relevant specifications and related work, this toolset-independent approach was found suitable for the exchange of geometric construction data. To implement the approach in practice, the File Ontology for Geometry formats (FOG) and accompanying modelling method is developed. In a proof-of-concept web application that uses FOG, is demonstrated how geometry descriptions of different existing formats are automatically recognised and parsed.",

keywords = "geometry, BIM, linked data, linked building data, semantic web",

author = "Mathias Bonduel and Anna Wagner and Pieter Pauwels and Maarten Vergauwen and Ralf Klein",

year = "2019",

doi = "10.35490/ec3.2019.166",

language = "English",

isbn = "9781910963371",

pages = "341--350",

booktitle = "Proceedings of the 2019 European Conference for Computing in Construction",

note = "2019 European Conference on Computing in Construction, EC3 ; Conference date: 10-07-2019 Through 12-07-2019",

url = "https://ec-3.org/conf2019/",

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T1 - Including widespread geometry formats in semantic graphs using RDF literals

AU - Bonduel, Mathias

AU - Wagner, Anna

AU - Pauwels, Pieter

AU - Vergauwen, Maarten

AU - Klein, Ralf

N1 - Conference code: 1

PY - 2019

Y1 - 2019

N2 - The exchange of building data involves both geometric and non-geometric data. A promising Linked Data approach is to embed data from existing geometry formats inside Resource Description Framework (RDF) literals. Based on a study of relevant specifications and related work, this toolset-independent approach was found suitable for the exchange of geometric construction data. To implement the approach in practice, the File Ontology for Geometry formats (FOG) and accompanying modelling method is developed. In a proof-of-concept web application that uses FOG, is demonstrated how geometry descriptions of different existing formats are automatically recognised and parsed.

AB - The exchange of building data involves both geometric and non-geometric data. A promising Linked Data approach is to embed data from existing geometry formats inside Resource Description Framework (RDF) literals. Based on a study of relevant specifications and related work, this toolset-independent approach was found suitable for the exchange of geometric construction data. To implement the approach in practice, the File Ontology for Geometry formats (FOG) and accompanying modelling method is developed. In a proof-of-concept web application that uses FOG, is demonstrated how geometry descriptions of different existing formats are automatically recognised and parsed.

KW - geometry

KW - BIM

KW - linked data

KW - linked building data

KW - semantic web

U2 - 10.35490/ec3.2019.166

DO - 10.35490/ec3.2019.166

M3 - Conference contribution

SN - 9781910963371

SP - 341

EP - 350

BT - Proceedings of the 2019 European Conference for Computing in Construction

T2 - 2019 European Conference on Computing in Construction

Y2 - 10 July 2019 through 12 July 2019

ER -

Including widespread geometry formats in semantic graphs using RDF literals

Abstract

Conference

Keywords

Access to Document

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Cite this